Course · Intermediate
Introduction to Algorithms
In this course, you'll learn how to analyze the time and space complexity of algorithms to optimize them for your use cases.
- Intermediate friendly
- 7 hrs
- 5 lessons
- 1 project
- Premium
Course overview
Evaluate algorithm time and space complexity in Python, trade memory for speed, and design efficient solutions for data engineering workflows.
What's inside
5 lessons · 1 project
- 01 70 minTime Complexity of Algorithms
Learn how to model the behavior of an algorithm in terms of execution time. Learn the time complexity of an algorithm.
- 02 78 minConstant Time Complexity
Learn about the core computer operations and how a computer can allocate and access memory. Learn constant time complexity.
- 03 57 minLogarithmic Time Complexity
Learn about binary search, logarithms, and logarithmic time complexity.
- 04 56 minSorting Algorithms
Learn how to implement your own sorting algorithm and the time complexity of sorting
- 05 66 minSpace Complexity
Learn to analyze how much memory an algorithm requires.
- 06 88 minGuided Project: Building Fast Queries on a CSV Project
For this project, we'll step into the role of Python developers to build an inventory system for a laptop store. We'll apply efficient data structures and algorithms to enable fast queries.
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